1184 Open Source Deep Learning Software Projects

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

A MNIST-like fashion product database. Benchmark :point_down:

Open standard for machine learning interoperability

Unity Machine Learning Agents Toolkit

The fastai deep learning library

A neural network that transforms a design mock-up into a static website.

AutoML library for deep learning

Turi Create simplifies the development of custom machine learning models.

Deepfakes Software For All

Photos App powered by Go and Google TensorFlow 🌈 ✨

Visualizer for neural network, deep learning, and machine learning models

Decensoring Hentai with Deep Neural Networks

A WebGL accelerated JavaScript library for training and deploying ML models.

Caffe: a fast open framework for deep learning.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

DeepFaceLab is the leading software for creating deepfakes.

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

100 Days of ML Coding

VIP cheatsheets for Stanford's CS 229 Machine Learning

100-Days-Of-ML-Code中文版

A paper list of object detection using deep learning.

Best Practices on Recommendation Systems

:satellite: Simple and ready-to-use tutorials for TensorFlow

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Learn how to responsibly deliver value with ML.

Mapping a variable-length sentence to a fixed-length vector using BERT model

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

A toolkit for making real world machine learning and data analysis applications in C++

Data-centric declarative deep learning framework

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Best Practices, code samples, and documentation for Computer Vision.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Cross-platform, customizable ML solutions for live and streaming media.

Streamlit — The fastest way to build data apps in Python

Deezer source separation library including pretrained models.

💫 Industrial-strength Natural Language Processing (NLP) in Python

:memo: An awesome Data Science repository to learn and apply for real world problems.

This repository contains the source code for the paper First Order Motion Model for Image Animation

The fastai book, published as Jupyter Notebooks

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

A curated list of awesome Deep Learning tutorials, projects and communities.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Learn OpenCV : C++ and Python Examples

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. First posted in 2016, maintained as of 2022. Pull requests welcome!

Deep Learning for humans

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Image augmentation for machine learning experiments.

machine learning and deep learning tutorials, articles and other resources

Face recognition with deep neural networks.

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

An Open Source Machine Learning Framework for Everyone

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

Open Source Computer Vision Library

Face recognition using Tensorflow

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Deep learning library featuring a higher-level API for TensorFlow.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

The most cited deep learning papers

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

TensorFlow Tutorials with YouTube Videos

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Minimal and clean examples of machine learning algorithms implementations

A complete daily plan for studying to become a machine learning engineer.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Image-to-image translation with conditional adversarial nets

A game theoretic approach to explain the output of any machine learning model.

A customisable 3D platform for agent-based AI research

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Oxford Deep NLP 2017 course

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

PyTorch Tutorial for Deep Learning Researchers

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

TensorFlow-based neural network library

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Image-to-Image Translation in PyTorch

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

An open-source NLP research library, built on PyTorch.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pix2code: Generating Code from a Graphical User Interface Screenshot

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Keras implementations of Generative Adversarial Networks.

TensorFlow tutorials and best practices.

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.